Cross Validated
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Noah
  • Member for 7 years, 4 months
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About

Statistical consultant and programmer at Harvard IQSS. Author and maintainer of several R packages for causal inference, including MatchIt, WeightIt, and cobalt, among others.

I have expertise in propensity score methods, matching, causal inference, linear regression, logistic regression, and programming in R.

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All Questions Answers
Score Newest
answer
56
Why do we do matching for causal inference vs regressing on confounders?
Sep 17, 2021
answer
48
Propensity score matching - What is the problem?
Aug 1, 2020
answer
26
Is Propensity Score Matching a "MUST" for Scientific Studies?
Jan 7, 2022
answer
25
Raw or orthogonal polynomial regression?
Oct 26, 2019
answer
23
Representing interaction effects in directed acyclic graphs
Jun 6, 2018
answer
20
If X=Y+Z, Is it ever useful to regress X on Y?
Jun 9, 2022
answer
19
What are the pros and cons of using mahalanobis distance instead of propensity scores in matching
Feb 27, 2021
answer
19
Strong ignorability: confusion on the relationship between outcomes and treatment
Jun 29, 2020
answer
17
If p-value is exactly 1 (1.0000000), what should the confidence interval limits be to support null hypothesis being true?
Sep 2, 2019
answer
17
Slight inconsistency between probability estimated from logistic regression and manual calculation from cross table
Aug 8
Top network posts
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13
Piping second or higher argument in native pipe
8
the use of minus sign inside square brackets
7
Is there any package for case-control matching (individual 1:N matching) in R (NOT propensity score matching)?
6
How do I conditionally use R packages in help file examples?
5
What is the difference among eval(parse()), eval(str2lang()), eval(str2expression()), and eval(call()[[1]])?

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